At a Glance
- Tasks: Develop cutting-edge AI solutions for games and enhance player experiences.
- Company: Join a leading interactive entertainment group shaping the future of gaming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on pioneering game design techniques.
- Why this job: Be at the forefront of game AI innovation and make a real impact in the gaming world.
- Qualifications: PhD in relevant fields and experience in game AI and reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.
Job Responsibilities
- Develop efficient and reliable game AI solutions based on actual business requirements; explore the application and implementation of deep learning/reinforcement learning technology in game AI, including:
- Multi-Agent Reinforcement Learning: train reinforcement AI agents in competitive or cooperative games, design new algorithms to improve the efficiency and effectiveness of multi-agent learning.
- Imitation Learning: train imitation learning AI agents with different styles using human gameplay data.
- GAIL: train reinforcement learning AI agents in games with limited human gameplay data as support, design algorithms to improve strength and humanisation of the agent.
- Follow the latest research publication in academia or industry and have an efficient implementation.
- Communicate with other groups within our organization, explore pioneer game AI design techniques and generation approaches to improve end players' game experience.
Requirements
- PhD degree in computer science, operations research, mathematics, or related fields.
- Distinguished work (including but not limited to published papers, industrial projects, etc.) in related fields, and experience in both game AI and reinforcement learning.
- Experience in the following deep reinforcement learning fields: Model-Free RL, Imitation Learning and Inverse Reinforcement Learning, Multi-Agent Learning, Exploration, Transfer and Multitask RL, Hierarchy RL.
- Proficient in at least one programming language, familiar with deep learning platforms such as TensorFlow, Caffe, PyTorch, etc.
- Excellent analytical and problem-solving skills, passionate about solving challenging problems.
- Positive stress tolerance ability; good understanding of business intentions.
Preferred
- Experience with LLM based agents.
- Applicants with strong research ability and publications in top AI conferences (NIPS, IJCAI, AAAI, ICML, ICLR, etc.).
- Passionate about the gaming industry, experience in game AI.
- Excellent communication and collaboration skills.
Game AI Algorithm Researcher in London employer: Tencent
At Interactive Entertainment Group (IEG), we pride ourselves on being at the forefront of the gaming industry, offering a dynamic work environment that fosters innovation and creativity. Our commitment to employee growth is evident through our collaborative culture, where researchers are encouraged to explore cutting-edge AI technologies while contributing to exciting projects in online gaming and eSports. Located in a vibrant tech hub, we provide unique opportunities for professional development and a chance to make a significant impact in the world of interactive entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Game AI Algorithm Researcher in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and AI community on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to game AI and reinforcement learning. We love seeing practical applications of your knowledge, so make sure to highlight any published papers or successful projects.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in game AI. We recommend diving into recent research papers and being ready to discuss how you can apply those insights to improve player experiences in our games.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to innovate in the gaming industry.
We think you need these skills to ace Game AI Algorithm Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Game AI Algorithm Researcher role. Highlight your experience with deep learning and reinforcement learning, and don’t forget to mention any relevant projects or publications that showcase your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about game AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific technologies or methodologies you’ve worked with.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love seeing analytical thinking in action, especially when it comes to developing innovative AI solutions for games.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Tencent
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in game AI, especially deep learning and reinforcement learning. Brush up on your knowledge of multi-agent systems and imitation learning, as these are key areas for the role.
✨Showcase Your Projects
Prepare to discuss your previous work, especially any published papers or projects related to game AI. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your expertise and problem-solving skills.
✨Practice Coding on the Spot
Since proficiency in programming is crucial, practice coding problems related to AI algorithms. You might be asked to solve a problem during the interview, so being comfortable with languages like Python and frameworks like TensorFlow or PyTorch will give you an edge.
✨Communicate Clearly
Effective communication is key, especially when discussing complex concepts. Practice explaining your ideas clearly and concisely, as you’ll need to collaborate with other teams. Show that you can break down intricate topics into understandable terms.
